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Lorenzo Chicchi

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Journal Articles

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2021
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  - journals/jcns/ChicchiCAVLPSTV21
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  - https://dblp.org/rec/journals/jcns/ChicchiCAVLPSTV21
Lorenzo Chicchi, Gloria Cecchini, Ihusan Adam, Giuseppe de Vito, Roberto Livi, Francesco Saverio Pavone, Ludovico Silvestri, Lapo Turrini, Francesco Vanzi, Duccio Fanelli:
Reconstruction scheme for excitatory and inhibitory dynamics with quenched disorder: application to zebrafish imaging. J. Comput. Neurosci. 49(2): 159-174 (2021)

Conference and Workshop Papers

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2023
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  - conf/nips/GiambagliBCF23
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Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli:
How a Student becomes a Teacher: learning and forgetting through Spectral methods. NeurIPS 2023

Informal and Other Publications

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2024
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  - journals/corr/abs-2406-01183
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Lorenzo Chicchi, Lorenzo Buffoni, Diego Febbe, Lorenzo Giambagli, Raffaele Marino, Duccio Fanelli:
Automatic Input Feature Relevance via Spectral Neural Networks. CoRR abs/2406.01183 (2024)
2023
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  - journals/corr/abs-2310-12612
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Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli:
How a student becomes a teacher: learning and forgetting through Spectral methods. CoRR abs/2310.12612 (2023)
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  - journals/corr/abs-2311-10387
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Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli:
A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). CoRR abs/2311.10387 (2023)
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  - journals/corr/abs-2312-07296
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Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli:
Complex Recurrent Spectral Network. CoRR abs/2312.07296 (2023)
2022
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  - journals/corr/abs-2202-04497
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Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti:
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification. CoRR abs/2202.04497 (2022)
2021
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  - journals/corr/abs-2106-09021
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Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Marco Ciavarella, Duccio Fanelli:
On the training of sparse and dense deep neural networks: less parameters, same performance. CoRR abs/2106.09021 (2021)

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